Prediction Pedestrian Model Training Service¶
Overview¶
Prediction Pedestrian Model Treaining Service is a cloud based service to train a prediction model for pedestrian from the data you provide, to better fit the pedestrian behavior in your environment.
Prerequisites¶
Apollo 6.0 or higher version.
Baidu Cloud BOS service registered according to document
Fuel service account on Apollo Dreamland
Main Steps¶
Data collection
Job submit
Trained model
Data Collection¶
Data Recording¶
Finish several hours of autonomous driving with different scenarios, please make sure to have some pedestrians in sights. Just record them with cyber_recorder.
Data Sanity Check¶
make sure following channels are included in records before submitting them to cloud service：
Modules
channel
items
Perception
/apollo/perception/PerceptionObstaclesexits without error message
Localization
/apollo/localization/pose-
you can check with
cyber_recorder：
cyber_recorder info xxxxxx.record.xxxxx
Job Submission¶
Upload data to BOS¶
1）Input Data Path is BOS root folder，for users；
2）There should be two folders under your Input Data Path, one named map for the map you are using in Apollo format, the other is records, for the records you collected.
Submit job requests in Dreamview¶
Goto Apollo Dreamland, login with Baidu account, choose Apollo Fuel--> task，new task, prediction pedestrian model training，and input correct path as in Upload data to BOS section：
Get Trained models¶
After job is done, you should be expecting emails including the results, the trained model will be in a
modelsfolder under yourInput Data Path.